scholarly journals Compared with whom? Reference groups in socio-economic comparisons and self-reported health in 34 countries

2019 ◽  
Vol 48 (5) ◽  
pp. 1710-1720 ◽  
Author(s):  
Alexi Gugushvili ◽  
Ewa Jarosz ◽  
Martin McKee

Abstract Background The association between socio-economic position and health is believed to be mediated, in part, by psycho-social comparison of one’s situation with that of others. But with whom? Possibilities include family, friends, elites, or even those in other countries or in previous times. So far, there has been almost no research on whether the reference point matters. Methods We take advantage of a comparative data set that, uniquely, allows us to ask this question. The Life in Transition Survey was conducted in four Southern European and 30 Central and Eastern European and Eurasian countries. We sought differences in the probability of good self-reported health among those using different reference groups, including own family, friends and neighbours, domestic elites, people living in other countries and those living prior to a major politico-economic transition. We used multivariable and multilevel mixed-effects Poisson regressions and estimated treatment effects via the regression adjustment of Poisson models. Results In most cases the choice of reference group did not matter but in some it did. Among men in Eastern European and Eurasian societies, those who compared themselves with their parents and their own families before the start of transition were less likely to report good health compared with those who did not compare their own economic situation with any specific reference group. Conclusions For some individuals, the choice of who to compare one’s situation with does seem to matter, pointing to an area for future investigation in research on psycho-social determinants of health.

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Gugushvili ◽  
E Jarosz ◽  
M McKee

Abstract Background The association between socio-economic position and health is believed to be mediated, in part, by psycho-social comparison of one’s situation to that of others. But with who? Possibilities include family, friends, elites, or even those in other countries or in previous times. So far, there has been almost no research on whether the reference point matters. Methods We take advantage of a comparative data set that, uniquely, allows us to ask this question. The Life in Transition Survey was conducted in four Southern European and 30 Central and Eastern European and Eurasian countries. We sought differences in the probability of good self-reported health among those using different reference groups, including own family, friends and neighbours, domestic elites, people living in other countries and, those living prior to the major politico-economic transition. We used multivariable and multilevel mixed-effects Poisson regressions and estimated treatment effects via the regression adjustment of Poisson models. Results In most cases the choice of reference group did not matter but in some it did. Among men in Eastern European and Eurasian societies, those who compared themselves to their parents and their own families before the start of transition were less likely to report good health compared to those who did not compare their own economic situation with any specific reference group. Conclusions For some individuals, the choice of who to compare one’s situation with does seem to matter, pointing to an area for future investigation in research on psycho-social determinants of health. Key messages We found no difference in self-reported health between those who compare their situation with friends and neighbours, domestic elites, and people living in other countries. In post-communist countries, those who compared their situation to that of their parents and their own situation before the politico-economic transition were less likely to report good health.


1976 ◽  
Vol 13 (3) ◽  
pp. 237-244 ◽  
Author(s):  
George P. Moschis

Little is known about the basis on which an individual selects and is influenced by specific reference groups. An attempt is made to explain consumer susceptibility to informal group influence by Festinger's theory of social comparison. The results of the study support hypotheses derived from the theory and offer insight into the determination of reference group influence. Marketing implications of this theory are discussed.


2019 ◽  
Vol 239 (3) ◽  
pp. 483-521 ◽  
Author(s):  
Sabrina Genz ◽  
Markus Janser ◽  
Florian Lehmer

Abstract The strong rise of digitalization, automation, machine learning and other related new digital technologies has led to an intense debate about their societal impacts. The transitions of occupations and the effects on labor demand and workers’ wages are still open questions. Research projects dealing with this issue often face a lack of data on the usage of new digital technologies. This paper uses a novel linked employer–employee data set that contains detailed information on establishments’ technological upgrading between 2011 and 2016, a recent period of rapid technological progress. Furthermore, we are the first to develop a digital tools index based on the German expert database BERUFENET. The new index contains detailed information on the work equipment that is used by workers. Hence, we observe the degree of digitalization on both the establishment level and the worker level. The data allow us to investigate the impact of technology investments on the wage growth of employees within establishments. Overall, the results from individual level fixed effects estimates suggest that investments in new digital technologies at the establishment level positively affect the wages of the establishments’ workers. Sector-specific results show that investments in new digital technologies increase wages in knowledge intensive production establishments and non-knowledge intensive services. The wage growth effects of employees in digital pioneer establishments relative to the specific reference group of workers in digital latecomer establishments are most pronounced for low- and medium-skilled workers.


2012 ◽  
Vol 110 (2) ◽  
pp. 403-415 ◽  
Author(s):  
T. Bipp ◽  
A. Kleingeld

An experiment that investigated the interaction effect of Neuroticism and the comparison to different reference groups on self-estimates of intelligence is reported. University students (100 men, 15 women) were randomly assigned to two experimental groups and asked to rate their own intelligence on a one-item measure, in IQ points, having been provided with reference values for either the general population or a student sample. Analysis of data confirmed that the accuracy of self-estimates of intelligence was influenced by the variation of the instruction. Participants provided more accurate estimations when confronted with comparison information about fellow students than about the general population. Persons scoring high on Neuroticism estimated their intelligence lower, but only when their estimation was based on a general reference group. Theoretical and practical implications were discussed.


Author(s):  
Yu Yang

Personality psychology has made tremendous progress in demonstrating important outcomes of personality traits. Yet the process by which people make personality judgment needs to be better understood. In this chapter, it is argued that to provide personality judgment, people must rely on a reference group of the target, a lay theory of the trait, or both. Importantly, the specific reference group and lay theory that people naturally choose are situated in their immediate cultural milieu, affecting trait judgment in systematic ways. Moreover, the relative impact of reference groups and lay theories on personality judgment can change under different circumstances. Postulates concerning the nature of these circumstances, consideration of how traits are inferred, and possible routes to better compare cultural groups on traits can also stimulate new understanding of the personality process.


Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1007
Author(s):  
Michał Ramsza

The present paper reports simulation results for a simple model of reference group influence on market choices, e.g., brand selection. The model was simulated on three types of random graphs, Erdos–Renyi, Barabasi–Albert, and Watts–Strogatz. The estimates of equilibria based on the simulation results were compared to the equilibria of the theoretical model. It was verified that the simulations exhibited the same qualitative behavior as the theoretical model, and for graphs with high connectivity and low clustering, the quantitative predictions offered a viable approximation. These results allowed extending the results from the simple theoretical model to networks. Thus, by increasing the positive response towards the reference group, the third party may create a bistable situation with two equilibria at which respective brands dominate the market. This task is easier for large reference groups.


Author(s):  
Mustafa Likos ◽  
Mahir Nakip ◽  
Aytaç Gökmen

The purpose of the study is to introduce factors impact on purchasing behavior in real estate marketing. The seven factors analyzed—location, structural factor, neighborhood, social factor, reference group, financial, advertising—have a direct effect on real estate purchasing behavior. A questionnaire prepared for this purpose was applied to 235 randomly selected people and the collected data were analyzed by variance analysis method. According to the results of the statistical analysis, factors such as location, structural factor, social factor, neighborhood, financial, advertising factor influence the purchasing behavior of the real estate, and it is observed that the reference groups do not affect the purchasing behavior.


Author(s):  
Bassel Matli ◽  
Andreas Schulz ◽  
Thomas Koeck ◽  
Tanja Falter ◽  
Johannes Lotz ◽  
...  

Abstract Objectives Insulin resistance (IR) is a hallmark of type 2 diabetes mellitus (DM). The homeostatic model assessment of insulin resistance (HOMA-IR) provides an estimate for IR from fasting glucose and insulin serum concentrations. The aim of this study was to obtain a reference interval for HOMA-IR for a specific insulin immunoassay. Methods The Gutenberg Health Study (GHS) is a population-based, prospective, single-center cohort study in Germany with 15,030 participants aged 35–74 years. Fasting glucose, insulin, and C-peptide were available in 10,340 participants. HOMA-IR was calculated in this group and three reference subgroups with increasingly more stringent inclusion criteria. Age- and sex-dependent distributions of HOMA-IR and reference intervals were obtained. In a substudy three insulin assays were compared and HOMA-IR estimated for each assay. Results Among the 10,340 participants analyzed there were 6,590 non-diabetic, 2,901 prediabetic, and 849 diabetic individuals. Median (interquartile range [IQR]) HOMA-IR was 1.54 (1.13/2.19), 2.00 (1.39/2.99), and 4.00 (2.52/6.51), respectively. The most stringently selected reference group consisted of 1,065 persons. Median (IQR) HOMA-IR was 1.09 (0.85/1.42) with no significant difference between men and women. The 97.5th percentile was 2.35. There was a non-significant trend towards higher values with older age. Comparison of three immunoassays for insulin showed an unsatisfactory correlation among the assays and systematic differences in calculated HOMA-IR. Conclusions We present HOMA-IR reference intervals for adults derived by more or less stringent selection criteria for the reference cohort. In addition we show that assay specific reference intervals for HOMA-IR are required.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Massimiliano Zanin ◽  
Miguel Romance ◽  
Santiago Moral ◽  
Regino Criado

The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications. While this has hitherto been tackled through data analysis techniques, the resemblances between this and other problems, like the design of recommendation systems and of diagnostic/prognostic medical tools, suggest that a complex network approach may yield important benefits. In this paper we present a first hybrid data mining/complex network classification algorithm, able to detect illegal instances in a real card transaction data set. It is based on a recently proposed network reconstruction algorithm that allows creating representations of the deviation of one instance from a reference group. We show how the inclusion of features extracted from the network data representation improves the score obtained by a standard, neural network-based classification algorithm and additionally how this combined approach can outperform a commercial fraud detection system in specific operation niches. Beyond these specific results, this contribution represents a new example on how complex networks and data mining can be integrated as complementary tools, with the former providing a view to data beyond the capabilities of the latter.


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